| Item type |
文献 / Documents(1) |
| 公開日 |
2018-11-12 |
| アクセス権 |
|
|
アクセス権 |
open access |
| 資源タイプ |
|
|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
|
資源タイプ |
journal article |
| 出版社版DOI |
|
|
|
識別子タイプ |
DOI |
|
|
関連識別子 |
https://doi.org/10.1371/journal.pone.0167727 |
|
|
言語 |
ja |
|
|
関連名称 |
10.1371/journal.pone.0167727 |
| 出版タイプ |
|
|
出版タイプ |
VoR |
|
出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| タイトル |
|
|
タイトル |
GlycCompSoft : Software for Automated Comparison of Low Molecular Weight Heparins Using Top-Down LC/MS Data |
|
言語 |
en |
| タイトル別表記 |
|
|
その他のタイトル |
Software for Automated Comparison of Low Molecular Weight Heparins Using Top-Down LC/MS Data |
|
言語 |
en |
| 著者 |
Wang, Xiaohua
Liu, Xinyue
Li, Lingyun
Zhang, Fuming
Hu, Min
任, 福継
Chi, Lianli
Linhardt, Robert J.
|
| 抄録 |
|
|
内容記述タイプ |
Abstract |
|
内容記述 |
Low molecular weight heparins are complex polycomponent drugs that have recently become amenable to top-down analysis using liquid chromatography-mass spectrometry. Even using open source deconvolution software, DeconTools, and automatic structural assignment software, GlycReSoft, the comparison of two or more low molecular weight heparins is extremely time-consuming, taking about a week for an expert analyst and provides no guarantee of accuracy. Efficient data processing tools are required to improve analysis. This study uses the programming language of Microsoft Excel™ Visual Basic for Applications to extend its standard functionality for macro functions and specific mathematical modules for mass spectrometric data processing. The program developed enables the comparison of top-down analytical glycomics data on two or more low molecular weight heparins. The current study describes a new program, GlycCompSoft, which has a low error rate with good time efficiency in the automatic processing of large data sets. The experimental results based on three lots of Lovenox®, Clexane® and three generic enoxaparin samples show that the run time of GlycCompSoft decreases from 11 to 2 seconds when the data processed decreases from 18000 to 1500 rows. |
|
言語 |
en |
| 書誌情報 |
en : PLOS ONE
巻 11,
号 12,
p. e0167727,
発行日 2016-12-12
|
| 収録物ID |
|
|
収録物識別子タイプ |
ISSN |
|
収録物識別子 |
19326203 |
| 出版者 |
|
|
出版者 |
PLOS |
|
言語 |
en |
| 権利情報 |
|
|
言語 |
en |
|
権利情報 |
Copyright: © 2016 Wang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
| EID |
|
|
識別子 |
322506 |
|
識別子タイプ |
URI |
| 言語 |
|
|
言語 |
eng |
pone_11_12_e0167727.pdf (1.83 MB)
